Literature DB >> 23420274

Comparative performance of a primary-reader and second-reader paradigm of computer-aided detection for CT colonography in a low-prevalence screening population.

Mototaka Miyake1, Gen Iinuma, Stuart A Taylor, Steve Halligan, Tsuyoshi Morimoto, Tamaki Ichikawa, Hideto Tomimatsu, Gareth Beddoe, Kazuro Sugimura, Yasuaki Arai.   

Abstract

OBJECTIVE: To compare the efficacy of computer-aided detection (CAD) for computed tomographic colonography (CTC) when employed as either primary-reader or second-reader paradigms in a low-prevalence screening population.
METHODS: Ninety screening patients underwent same-day CTC and colonoscopy. Four readers prospectively interpreted all CTC data sets using a second-reader paradigm (unassisted interpretation followed immediately by CAD assistance). Three months later, randomized anonymous data sets were re-interpreted by all readers using a primary-reader paradigm (only CAD prompts evaluated).
RESULTS: Compared with the average per-patient sensitivity for unassisted interpretation (0.57), both CAD paradigms significantly increased sensitivity: 0.78 (p < 0.001) for the second-reader paradigm and 0.83 (p < 0.001) for the primary-reader paradigm. There was no significant difference between CAD paradigms (p = 0.25). The average per-patient specificity for polyps ≥6 mm was significantly higher using the primary-reader paradigm than the second-reader paradigm (0.90 vs. 0.83, respectively, p = 0.006), with ROC AUCs of 0.83 and 0.68, respectively. Reading time using CAD as a primary-reader paradigm (median 1.4 min) was significantly shorter than both unassisted (median 4.0 min, p < 0.001) and second-reader paradigms (median 5.5 min, p < 0.001).
CONCLUSION: CAD improves radiologist sensitivity in screening patients when used as either a second- or primary-reader paradigm, although the latter may improve specificity and efficiency more.

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Year:  2013        PMID: 23420274     DOI: 10.1007/s11604-013-0187-7

Source DB:  PubMed          Journal:  Jpn J Radiol        ISSN: 1867-1071            Impact factor:   2.374


  25 in total

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Authors: 
Journal:  Gastrointest Endosc       Date:  2003-12       Impact factor: 9.427

Review 2.  Computer-aided diagnosis for CT colonography.

Authors:  Hiroyuki Yoshida; Abraham H Dachman
Journal:  Semin Ultrasound CT MR       Date:  2004-10       Impact factor: 1.875

Review 3.  CAD techniques, challenges, and controversies in computed tomographic colonography.

Authors:  H Yoshida; A H Dachman
Journal:  Abdom Imaging       Date:  2005 Jan-Feb

4.  Virtual colonoscopy: effect of computer-assisted detection (CAD) on radiographer performance.

Authors:  D Burling; A Moore; M Marshall; J Weldon; C Gillen; R Baldwin; K Smith; P J Pickhardt; P Pickhardt; L Honeyfield; S A Taylor; S Taylor
Journal:  Clin Radiol       Date:  2008-01-15       Impact factor: 2.350

5.  Computed tomographic virtual colonoscopy computer-aided polyp detection in a screening population.

Authors:  Ronald M Summers; Jianhua Yao; Perry J Pickhardt; Marek Franaszek; Ingmar Bitter; Daniel Brickman; Vamsi Krishna; J Richard Choi
Journal:  Gastroenterology       Date:  2005-12       Impact factor: 22.682

6.  Incremental benefit of computer-aided detection when used as a second and concurrent reader of CT colonographic data: multiobserver study.

Authors:  Steve Halligan; Susan Mallett; Douglas G Altman; Justine McQuillan; Maria Proud; Gareth Beddoe; Lesley Honeyfield; Stuart A Taylor
Journal:  Radiology       Date:  2010-11-17       Impact factor: 11.105

7.  Effect of computer-aided detection for CT colonography in a multireader, multicase trial.

Authors:  Abraham H Dachman; Nancy A Obuchowski; Jeffrey W Hoffmeister; J Louis Hinshaw; Michael I Frew; Thomas C Winter; Robert L Van Uitert; Senthil Periaswamy; Ronald M Summers; Bruce J Hillman
Journal:  Radiology       Date:  2010-07-27       Impact factor: 11.105

8.  Computer-aided detection in computed tomography colonography: current status and problems with detection of early colorectal cancer.

Authors:  Tsuyoshi Morimoto; Gen Iinuma; Junji Shiraishi; Yasuaki Arai; Noriyuki Moriyama; Gareth Beddoe; Yasuo Nakijima
Journal:  Radiat Med       Date:  2008-07-27

9.  CT colonography and computer-aided detection: effect of false-positive results on reader specificity and reading efficiency in a low-prevalence screening population.

Authors:  Stuart A Taylor; Rebecca Greenhalgh; Rajapandian Ilangovan; Emily Tam; Vikram A Sahni; David Burling; Jie Zhang; Paul Bassett; Perry J Pickhardt; Steve Halligan
Journal:  Radiology       Date:  2008-02-21       Impact factor: 11.105

10.  Accuracy of CT colonography for detection of large adenomas and cancers.

Authors:  C Daniel Johnson; Mei-Hsiu Chen; Alicia Y Toledano; Jay P Heiken; Abraham Dachman; Mark D Kuo; Christine O Menias; Betina Siewert; Jugesh I Cheema; Richard G Obregon; Jeff L Fidler; Peter Zimmerman; Karen M Horton; Kevin Coakley; Revathy B Iyer; Amy K Hara; Robert A Halvorsen; Giovanna Casola; Judy Yee; Benjamin A Herman; Lawrence J Burgart; Paul J Limburg
Journal:  N Engl J Med       Date:  2008-09-18       Impact factor: 91.245

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  2 in total

1.  Preoperative T staging of colon cancer using CT colonography with multiplanar reconstruction: new diagnostic criteria based on "bordering vessels".

Authors:  Akira Komono; Dai Shida; Gen Iinuma; Shunsuke Tsukamoto; Ryohei Sakamoto; Konosuke Moritani; Mototaka Miyake; Yukihide Kanemitsu
Journal:  Int J Colorectal Dis       Date:  2019-01-21       Impact factor: 2.571

2.  Preoperative T staging using CT colonography with multiplanar reconstruction for very low rectal cancer.

Authors:  Dai Shida; Gen Iinuma; Akira Komono; Hiroki Ochiai; Shunsuke Tsukamoto; Mototaka Miyake; Yukihide Kanemitsu
Journal:  BMC Cancer       Date:  2017-11-14       Impact factor: 4.430

  2 in total

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